Radiographic Image Interpretation, Computer-Assisted
"Radiographic Image Interpretation, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Computer systems or networks designed to provide radiographic interpretive information.
| Descriptor ID |
D011857
|
| MeSH Number(s) |
E01.158.600.680 E01.370.350.350.700 E01.370.350.700.705 L01.313.500.750.100.158.600.680
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Radiographic Image Interpretation, Computer-Assisted".
- Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
- Diagnosis [E01]
- Diagnosis, Computer-Assisted [E01.158]
- Image Interpretation, Computer-Assisted [E01.158.600]
- Radiographic Image Interpretation, Computer-Assisted [E01.158.600.680]
- Diagnostic Techniques and Procedures [E01.370]
- Diagnostic Imaging [E01.370.350]
- Image Interpretation, Computer-Assisted [E01.370.350.350]
- Radiographic Image Interpretation, Computer-Assisted [E01.370.350.350.700]
- Radiography [E01.370.350.700]
- Radiographic Image Interpretation, Computer-Assisted [E01.370.350.700.705]
- Information Science [L]
- Information Science [L01]
- Informatics [L01.313]
- Medical Informatics [L01.313.500]
- Medical Informatics Applications [L01.313.500.750]
- Decision Making, Computer-Assisted [L01.313.500.750.100]
- Diagnosis, Computer-Assisted [L01.313.500.750.100.158]
- Image Interpretation, Computer-Assisted [L01.313.500.750.100.158.600]
- Radiographic Image Interpretation, Computer-Assisted [L01.313.500.750.100.158.600.680]
Below are MeSH descriptors whose meaning is more specific than "Radiographic Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in this website by year, and whether "Radiographic Image Interpretation, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2002 | 1 | 0 | 1 |
| 2005 | 1 | 0 | 1 |
| 2007 | 1 | 0 | 1 |
| 2008 | 0 | 1 | 1 |
| 2009 | 1 | 1 | 2 |
| 2011 | 0 | 1 | 1 |
| 2013 | 1 | 0 | 1 |
| 2014 | 3 | 1 | 4 |
| 2015 | 6 | 0 | 6 |
| 2016 | 2 | 2 | 4 |
| 2017 | 2 | 0 | 2 |
| 2018 | 4 | 1 | 5 |
| 2019 | 1 | 0 | 1 |
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Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles.
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Chen X, Zargari A, Hollingsworth AB, Liu H, Zheng B, Qiu Y. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
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Mirniaharikandehei S, Hollingsworth AB, Patel B, Heidari M, Liu H, Zheng B. Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
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Danala G, Patel B, Aghaei F, Heidari M, Li J, Wu T, Zheng B. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms. Ann Biomed Eng. 2018 Sep; 46(9):1419-1431.
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Trujillo RL, Kadioglu O, Currier GF, Smith KS, Yetkiner E. Volumetric Cleft Changes in Treatment With Bone Morphogenic Protein/ß-Tricalcium Phosphate Versus Grafts From the Iliac Crest or Symphysis. J Oral Maxillofac Surg. 2018 09; 76(9):1991-1997.
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Ali I, Alsbou N, Jaskowiak J, Ahmad S. Quantitative evaluation of the performance of different deformable image registration algorithms in helical, axial, and cone-beam CT images using a mobile phantom. J Appl Clin Med Phys. 2018 Mar; 19(2):62-73.
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Heidari M, Khuzani AZ, Hollingsworth AB, Danala G, Mirniaharikandehei S, Qiu Y, Liu H, Zheng B. Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm. Phys Med Biol. 2018 01 30; 63(3):035020.
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Ghani MU, Ren L, Wong M, Li Y, Zheng B, Rong XJ, Yang K, Liu H. Noise Power Characteristics of a Micro-Computed Tomography System. J Comput Assist Tomogr. 2017 Jan; 41(1):82-89.
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Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B. Computer-aided classification of mammographic masses using visually sensitive image features. J Xray Sci Technol. 2017; 25(1):171-186.
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Tan M, Aghaei F, Wang Y, Zheng B. Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.
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Ali I, Alsbou N, Oyewale S, Jaskowiak J, Ahmad S, Algan O. Evaluation of localization uncertainty of fiducial markers due to length and position variations induced by motion in CT imaging by measurement and modeling. Gulf J Oncolog. 2016 May; 1(21):21-9.